Precision Irrigation, Variable Rate Irrigation, Fuzzy Systems, Site-Specific Irrigation Control System, Fuzzy Control System. 

This work will present the development of an intelligent precision irrigation system able capable of managing the application of water over a specific area of planting area, the literature designates this methodology as Variable Rate Irrigation (VRI). This intelligent system will apply the optimum amount of water in all the management areas delimited by an irrigation system, which will result in a higher productivity of season crop and improve the efficiency of water use in agriculture. The system will use an artificial intelligence approach to creating optimal control maps for a central pivot irrigation system and will do so autonomously. A fuzzy decision system will be developed to create setpoints values for rotating speed controllers of the central pivot and will establish setpoints values for the individual opening of each valve of the sprinkler. The soil electrical conductivity (EC) readings, remote sensing images, foliage temperature difference, plant type, irrigation type and climatic data of the plantation region are been used as input data for the system. This control system will have the capacity to deal with the complexities of managing soil-plant- atmosphere relations in irrigated crops. And the system proposed in this work will be able to apply an exact volume of water to an exact location on the plantation in your exact moment of need. From the literature review, it is argued that this irrigation control strategy is more realistic than traditional crop management models. The results indicate that the data of edaphoclimatic variables when well combined with the fuzzy logic can solve the uncertainties and nonlinearities of an irrigation system and establish a control model for irrigation with high precision.